Advances in Database Management Systems
Subject Code : 10SCS13 IA Marks :
50
No of Lecture Hrs/Week :
4 Exam hours : 3
Total No of Lecture Hours : 52 Exam Marks : 100
1. Review of Relational
Data Model and Relational Database Constraints: Relational model concepts; Relational model constraints and relational database schemas; Update operations, transactions and dealing with
constraint violations.
2. Object and Object-Relational Databases: Overview of Object-Oriented Concepts – Objects, Encapsulation, Type and class hierarchies, complex objects; Object model of ODMG, Object definition Language ODL; Object
Query Language OQL;
Overview of C++ language
binding; Conceptual design of Object database. Overview of object relational features of SQL; Object-relational features of Oracle; Implementation
and
related issues for
extended type systems; The nested relational model.
3. Enhanced Data Models
for Some Advanced
Applications: Active database concepts and triggers; Temporal, Spatial, and Deductive Databases – Basic concepts.
4. Parallel and Distributed Databases: Architectures for parallel databases; Parallel query evaluation;
Parallelizing
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individual operations; Parallel query optimizations; Introduction
to distributed databases; Distributed DBMS architectures;
Storing data in a Distributed DBMS; Distributed catalog management; Distributed Query processing; Updating distributed data; Distributed transactions;
Distributed Concurrency control and Recovery.
5. Data
Warehousing,
Decision Support
and Data
Mining: Introduction to decision support; OLAP,
multidimensional model; Window queries in SQL; Finding answers quickly; Implementation
techniques for
OLAP; Data Warehousing; Views and Decision support; View materialization; Maintaining materialized views.
Introduction to Data Mining; Counting co-occurrences; Mining for rules; Tree-structured rules; Clustering; Similarity search over sequences; Incremental mining and data streams; Additional data
mining tasks.
6. More Recent Applications: Mobile databases; Multimedia databases; Geographical Information
Systems; Genome data
management.
Laboratory Work:
(The following tasks can be implemented on Oracle or any other suitable RDBMS with support for Object
features)
1. Develop a
database application to demonstrate storing and retrieving of BLOB and CLOB objects.
2. Develop a database application to demonstrate the representation of multivalued attributes, and the use
of
nested tables to represent complex objects. Write suitable queries to demonstrate
their use.
3. Design and develop a suitable Student Database application. One of the attributes to me maintained is
the
attendance of a student in each subject for which he/she has enrolled. Using TRIGGERS, write
active rules to do the following:
a. Whenever the attendance is updated, check if the attendance is less than 85%; if so, notify the
Head of the Department concerned.
b. Whenever, the marks in an Internal Assessment Test are entered, check if the marks are less than 40%; if so, notify the Head of the Department concerned.
4. Design, develop, and execute a program in a language of your choice to implement any one algorithm
for mining association rules. Run the program against any large database available in the public domain and discuss the results.
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13:42 - By Rajshekar Targar
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